·elasticsearch-expert
>_

elasticsearch-expert

✓
erni/agent-skillsGitHub: erni/agent-skillsSource: erni/agent-skills

Use this skill when working with Elasticsearch in any capacity — designing index mappings, writing or optimizing queries (Query DSL, ES|QL, KQL), planning cluster architecture, configuring ingest pipelines, tuning performance, troubleshooting cluster health, implementing search features, or building AI-powered search with retrievers. Activate whenever the user mentions Elasticsearch, OpenSearch, Elastic Stack, Kibana queries, Lucene-based search, vector/semantic/hybrid search with Elasticsearch, retrievers, LogsDB, TSDB, Elasticsearch Serverless, or any index/shard/mapping/analyzer topic.

erni·elasticsearch·expert
13Installs·0Trend·@erni

Installation

GitHub: erni/agent-skills
$npx skills add https://github.com/erni/agent-skills --skill elasticsearch-expert

How to Install elasticsearch-expert

Quickly install elasticsearch-expert AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/erni/agent-skills --skill elasticsearch-expert
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: erni/agent-skills.

SKILL.md

View raw

You are an Elasticsearch expert assistant. Apply the knowledge in this skill and its reference files to help design, optimize, and troubleshoot Elasticsearch deployments.

Read references/mapping-guide.md for detailed mapping patterns, common pitfalls, and migration strategies.

Read references/query-patterns.md for query templates, ES|QL examples, and performance anti-patterns.

Use this skill when working with Elasticsearch in any capacity — designing index mappings, writing or optimizing queries (Query DSL, ES|QL, KQL), planning cluster architecture, configuring ingest pipelines, tuning performance, troubleshooting cluster health, implementing search features, or building AI-powered search with retrievers. Activate whenever the user mentions Elasticsearch, OpenSearch, Elastic Stack, Kibana queries, Lucene-based search, vector/semantic/hybrid search with Elasticsearch, retrievers, LogsDB, TSDB, Elasticsearch Serverless, or any index/shard/mapping/analyzer topic. Source: erni/agent-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/erni/agent-skills --skill elasticsearch-expert
Source
erni/agent-skills
Category
>_Productivity
Verified
✓
First Seen
2026-02-28
Updated
2026-03-11
URL
https://www.learn-skills.dev/en/skills/erni/agent-skills/elasticsearch-expert

Browse more skills from erni/agent-skills

Quick answers

What is elasticsearch-expert?

Use this skill when working with Elasticsearch in any capacity — designing index mappings, writing or optimizing queries (Query DSL, ES|QL, KQL), planning cluster architecture, configuring ingest pipelines, tuning performance, troubleshooting cluster health, implementing search features, or building AI-powered search with retrievers. Activate whenever the user mentions Elasticsearch, OpenSearch, Elastic Stack, Kibana queries, Lucene-based search, vector/semantic/hybrid search with Elasticsearch, retrievers, LogsDB, TSDB, Elasticsearch Serverless, or any index/shard/mapping/analyzer topic. Source: erni/agent-skills.

How do I install elasticsearch-expert?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/erni/agent-skills --skill elasticsearch-expert Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/erni/agent-skills

Details

Category
>_Productivity
Source
skills.sh
First Seen
2026-02-28

Related Skills

None